<i>Euclid</i>: Early Release Observations – NISP-only sources and the search for luminous <i>z</i> = 6–8 galaxies
Bibliographic record
Abstract
This paper presents a search for high redshift galaxies from the <i>Euclid</i> Early Release Observations program ‘Magnifying Lens.’ The 1.5 deg<sup>2</sup> area covered by the twin Abell lensing cluster fields is comparable in size to the few other deep near-infrared surveys such as COSMOS, and so provides an opportunity to significantly increase known samples of rare UV-bright galaxies at <i>z</i> ≈ 6–8 (<i>M</i><sub>UV</sub> ≲ −22). Beyond their still uncertain role in reionisation, these UV-bright galaxies are ideal laboratories from which to study galaxy formation and constrain the bright-end of the UV luminosity function. Of the 501 994 sources detected from a combined <i>Y</i><sub>E</sub>, <i>J</i><sub>E</sub>, and <i>H</i><sub></sub>E NISP detection image, 168 do not have any appreciable VIS/<i>I</i><sub>E</sub> flux. These objects span a range in spectral colours, separated into two classes: 139 extremely red sources; and 29 Lyman-break galaxy candidates. Best-fit redshifts and spectral templates suggest the former is composed of both <i>z</i> ≳ 5 dusty star-forming galaxies and <i>z</i> ≈ 1–3 quiescent systems. The latter is composed of more homogeneous Lyman-break galaxies at <i>z</i> ≈ 6–8. In both cases, contamination by L- and T-type dwarfs cannot be ruled out with <i>Euclid</i> images alone. Additional contamination from instrumental persistence is investigated using a novel time series analysis. This work lays the foundation for future searches within the Euclid Deep Fields, where thousands more <i>z</i> ≳ 6 Lyman-break systems and extremely red sources will be identified.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".